Package: geostatsp
Type: Package
Title: Geostatistical Modelling with Likelihood and Bayes
Version: 2.1.0
Date: 2026-07-22
Depends: Matrix, terra, R (>= 3.5.0)
Imports: abind, numDeriv, methods, stats
Suggests: parallel, mapmisc, pracma, knitr
Enhances: ellipse, RandomFields, INLA, diseasemapping, geoR, mvtnorm
LinkingTo: Matrix (>= 1.6-2)
Additional_repositories: https://inla.r-inla-download.org/R/testing
Authors@R: person("Patrick", "Brown", 
                    role = c("aut", "cre","cph"),
                     email = "patrick.brown@utoronto.ca")
Description: Geostatistical modelling facilities using 'SpatRaster' and
        'SpatVector' objects are provided. Non-Gaussian models are fit
        using 'INLA', and Gaussian geostatistical models use Maximum
        Likelihood Estimation.  For details see Brown (2015)
        <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is
        available at
        <https://web.archive.org/web/20250719184025/https://www.wim.uni-mannheim.de/schlather/publications/software>
        and <https://github.com/cran/RandomFields>.
License: GPL
NeedsCompilation: yes
VignetteBuilder: knitr
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://eborgnine.r-universe.dev
Date/Publication: 2026-07-22 13:29:41 UTC
RemoteUrl: https://github.com/r-forge/diseasemapping
RemoteRef: HEAD
RemoteSha: 15f8b7304fe47e67f4c106e8cb6d045f099eca00
RemoteSubdir: pkg/geostatsp
Packaged: 2026-07-22 14:43:36 UTC; root
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>